Data Engineering Learning Path

NIS2 Directive — Cybersecurity Resilience

10 concepts · 6 paths · 1 pillar

Progress 0 / 10 complete

Flow

NIS2 Directive — Cybersecurity Resilience
DORA — ICT Risk Management
Data Observability
Data Pipeline Architecture

All Paths

NIS2 Directive — Cybersecurity Resilience → DORA — ICT Risk Management → Data Observability → Data Pipeline Architecture
3 steps
NIS2 Directive — Cybersecurity Resilience → DORA — ICT Risk Management → Distributed Systems for Data → Data Mesh
3 steps
NIS2 Directive — Cybersecurity Resilience → DORA — ICT Risk Management → Distributed Systems for Data → Data Pipeline Architecture
3 steps
NIS2 Directive — Cybersecurity Resilience → DORA — ICT Risk Management → Data Contracts → Data Governance
3 steps
NIS2 Directive — Cybersecurity Resilience → DORA — ICT Risk Management → Workflow Orchestration → Data Pipeline Architecture
3 steps
NIS2 Directive — Cybersecurity Resilience → DORA — ICT Risk Management → Data Governance → Data Quality
3 steps

Concepts in this Path

1 NIS2 Directive — Cybersecurity Resilience
Mark Done Remember
Data-engineering 5 items Review on Dashboard →
Regulatory Compliance for Data Platforms: DORA, NIS2, EU AI Act, and Data Act Learn Data Security and Access Control in Modern Data Architectures Learn EY Canada published a cybersecurity report and most citations were hallucinated -- 🛡️ AML 2026-06-01 Research
2 DORA — ICT Risk Management
Mark Done Understand
Data-engineering 2 items Review on Dashboard →
Regulatory Compliance for Data Platforms: DORA, NIS2, EU AI Act, and Data Act Learn The Risk-Based Approach in AML: A Practical Introduction Research
3 Data Observability
Mark Done Analyze
Data-engineering 9 items Review on Dashboard →
Designing a Comprehensive AML Compliance Program Learn Data Quality, Observability, and Cost Optimization at Scale Learn Data Quality Engineering: Testing, Monitoring, and Expectations at Scale Learn
4 Data Pipeline Architecture
Mark Done Create
Data-engineering 1 items Review on Dashboard →
DataOps: Principles, Practices, and Pipeline Architecture Learn
5 Distributed Systems for Data
Mark Done Evaluate
Data-engineering 5 items Review on Dashboard →
Nearly-Optimal Time-Sample Trade-off in Consensus Dynamics Research Only Accepted Tokens Count: An Energy Accounting of Speculative Decoding Under Latency Targets Research Power Adjusting Games Under Block-Dependent Pool Payout Schemes Research
6 Data Mesh
Mark Done Create
Data-engineering 4 items Review on Dashboard →
Designing a Production Data Platform: From Requirements to Architecture Learn Data Mesh: Architecture, Governance, and Real-World Adoption Learn The Modern Data Catalog: Metadata, Discovery, and AI-Driven Automation Learn
7 Data Contracts
Mark Done Create
Data-engineering 3 items Review on Dashboard →
Data Contracts & Data Lineage: Building Trust in Modern Data Pipelines Learn Data Contracts: Schema as API for the Analytics Team Research Compliance-by-Design: When the Rulebook Lives in the Pipeline Knowledge
8 Data Governance
Mark Done Create
Data-engineering 3 items Review on Dashboard →
Data Contracts & Data Lineage: Building Trust in Modern Data Pipelines Learn The Modern Data Catalog: Metadata, Discovery, and AI-Driven Automation Learn Regulatory Compliance for Data Platforms: DORA, NIS2, EU AI Act, and Data Act Learn
9 Workflow Orchestration
Mark Done Evaluate
Data-engineering 4 items Review on Dashboard →
ML Pipeline Orchestration: From Notebook to Production with Feast and MLflow Research Airflow vs Prefect vs Dagster: Choosing the Right Orchestrator in 2026 Research Dagster's Asset-Centric Orchestration Model Research
10 Data Quality
Mark Done Create
Data-engineering 8 items Review on Dashboard →
Data Quality, Observability, and Cost Optimization at Scale Learn Learning Hub Learn DataOps: Principles, Practices, and Pipeline Architecture Learn

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